Triple

T37186153
Position Surface form Disambiguated ID Type / Status
Subject Pantalica archaeological area E921325 entity
Predicate hasNecropolisName P107125 FINISHED
Object North Necropolis
North Necropolis is one of the major rock-cut burial complexes within the ancient Pantalica archaeological site in southeastern Sicily.
E2218176 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: North Necropolis | Statement: [Pantalica archaeological area, hasNecropolisName, North Necropolis]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: North Necropolis
Triple: [Pantalica archaeological area, hasNecropolisName, North Necropolis]
Generated description
North Necropolis is one of the major rock-cut burial complexes within the ancient Pantalica archaeological site in southeastern Sicily.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNecropolisName
Context triple: [Pantalica archaeological area, hasNecropolisName, North Necropolis]
  • A. cemeteryName chosen
    Indicates the name assigned to a cemetery associated with an entity.
  • B. belongsToNecropolis
    Indicates that something is part of, contained within, or associated with a particular necropolis.
  • C. hasTombDesignation
    Indicates that an entity has been assigned a specific formal designation or identifier for its tomb.
  • D. hasGraveInscription
    Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
  • E. hasMortuaryTemple
    Indicates that a person, ruler, or deity is associated with or honored by a specific mortuary temple built for their funerary or commemorative purposes.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76ea250bc819083f28d81de25cd0c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a008c77d4dc8190b342d7407eaf48fa completed May 10, 2026, 1:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40361150cc8190b7e8dd50324f64a3 completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a40367cb42c8190806545287c151139 completed June 27, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a40384edcec8190a51c44c29a77de86 completed June 27, 2026, 8:53 p.m.
PD Predicate disambiguation batch_6a008c18531c8190bbe883b73e6d023f completed May 10, 2026, 1:46 p.m.
Created at: May 3, 2026, 4:15 p.m.